WFRF:(Yang Zhijian)
Search: WFRF:(Yang Zhijian) > (2020-2023) > Total genetic contr...
- 3 of 11
- Previous record
- Next record
- To hitlist
Total genetic contribution assessment across the human genome
-
- Li, Ting (author)
- Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Biostat Grp, Guangzhou, Peoples R China.
-
- Ning, Zheng (author)
- Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Biostat Grp, Guangzhou, Peoples R China.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden.
-
- Yang, Zhijian (author)
- Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Biostat Grp, Guangzhou, Peoples R China.
- show more...
- show less...
- Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Biostat Grp, Guangzhou, Peoples R China Sun Yat Sen Univ, Sch Life Sci, State Key Lab Biocontrol, Biostat Grp, Guangzhou, Peoples R China.;Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden. (creator_code:org_t)
- 2021-05-14
- 2021
- English.
- In: Nature Communications. - : Springer Nature. - 2041-1723. ; 12
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Quantifying the overall magnitude of every single locus' genetic effect on the widely measured human phenome is of great challenge. We introduce a unified modelling technique that can consistently provide a total genetic contribution assessment (TGCA) of a gene or genetic variant without thresholding genetic association signals. Genome-wide TGCA in five UK Biobank phenotype domains highlights loci such as the HLA locus for medical conditions, the bone mineral density locus WNT16 for physical measures, and the skin tanning locus MC1R and smoking behaviour locus CHRNA3 for lifestyle. Tissue-specificity investigation reveals several tissues associated with total genetic contributions, including the brain tissues for mental health. Such associations are driven by tissue-specific gene expressions, which share genetic basis with the total genetic contributions. TGCA can provide a genome-wide atlas for the overall genetic contributions in each particular domain of human complex traits. Quantifying the effects of individual loci on the human phenome is a challenging task. Here, the authors introduce a modelling technique, TGCA, that assesses total genetic contribution per locus and apply this to UK Biobank phenotype domains, revealing top loci and links to tissue-specific gene expression.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Medicinsk genetik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Medical Genetics (hsv//eng)
- NATURVETENSKAP -- Biologi -- Genetik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Genetics (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
Find in a library
- Nature Communications (Search for host publication in LIBRIS)
To the university's database
- 3 of 11
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Li, Ting
- Ning, Zheng
- Yang, Zhijian
- Zhai, Ranran
- Zheng, Chenqing
- Xu, Wenzheng
- show more...
- Wang, Yipeng
- Ying, Kejun
- Chen, Yiwen
- Shen, Xia
- show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Basic Medicine
- and Medical Genetics
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Biological Scien ...
- and Genetics
- Articles in the publication
- Nature Communica ...
- By the university
- Uppsala University
- Karolinska Institutet
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
